使用带初始猜测的特征基函数法高效迭代求解组合源积分方程

IF 1.8 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhiwen Dong;Xinlei Chen;Fan Gao;Changqing Gu;Zhuo Li;Wu Yang;Weibing Lu
{"title":"使用带初始猜测的特征基函数法高效迭代求解组合源积分方程","authors":"Zhiwen Dong;Xinlei Chen;Fan Gao;Changqing Gu;Zhuo Li;Wu Yang;Weibing Lu","doi":"10.1109/JMMCT.2024.3382725","DOIUrl":null,"url":null,"abstract":"Using only the RWG functions, the combined source integral equation (CSIE) with weak form combined source condition can achieve fine accuracy and fast iterative convergence for conductor objects. However, compared with a conventional integral equation in the method of moments (MoM), the conventional CSIE involves more matrices and more complex numerical processing, and these make the CSIE inefficient, especially for multiple excitation problems. In this article, a characteristic basis function (CBF)-based CSIE with initial guess is proposed to mitigate this problem. The CBF is employed to reduce the number of unknowns as well as the storage consumptions and iteration time. In the meantime, an initial guess especially for CBFs is proposed to reduce iterations when solving multiple excitation problems. Numerical results are given to demonstrate the performance of the proposed method.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Iterative Solution of Combined Source Integral Equation Using Characteristic Basis Function Method With Initial Guess\",\"authors\":\"Zhiwen Dong;Xinlei Chen;Fan Gao;Changqing Gu;Zhuo Li;Wu Yang;Weibing Lu\",\"doi\":\"10.1109/JMMCT.2024.3382725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using only the RWG functions, the combined source integral equation (CSIE) with weak form combined source condition can achieve fine accuracy and fast iterative convergence for conductor objects. However, compared with a conventional integral equation in the method of moments (MoM), the conventional CSIE involves more matrices and more complex numerical processing, and these make the CSIE inefficient, especially for multiple excitation problems. In this article, a characteristic basis function (CBF)-based CSIE with initial guess is proposed to mitigate this problem. The CBF is employed to reduce the number of unknowns as well as the storage consumptions and iteration time. In the meantime, an initial guess especially for CBFs is proposed to reduce iterations when solving multiple excitation problems. Numerical results are given to demonstrate the performance of the proposed method.\",\"PeriodicalId\":52176,\"journal\":{\"name\":\"IEEE Journal on Multiscale and Multiphysics Computational Techniques\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal on Multiscale and Multiphysics Computational Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10483099/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10483099/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

仅使用 RWG 函数,具有弱形式组合源条件的组合源积分方程(CSIE)就能实现导体对象的高精度和快速迭代收敛。然而,与矩量法(MoM)中的传统积分方程相比,传统 CSIE 涉及更多矩阵和更复杂的数值处理,这使得 CSIE 效率低下,尤其是在多激励问题上。本文提出了一种基于特征基函数(CBF)的 CSIE(带初始猜测),以缓解这一问题。采用 CBF 可以减少未知数的数量、存储消耗和迭代时间。同时,还提出了一种特别适用于 CBF 的初始猜测,以减少求解多重激励问题时的迭代次数。给出的数值结果证明了所提方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Iterative Solution of Combined Source Integral Equation Using Characteristic Basis Function Method With Initial Guess
Using only the RWG functions, the combined source integral equation (CSIE) with weak form combined source condition can achieve fine accuracy and fast iterative convergence for conductor objects. However, compared with a conventional integral equation in the method of moments (MoM), the conventional CSIE involves more matrices and more complex numerical processing, and these make the CSIE inefficient, especially for multiple excitation problems. In this article, a characteristic basis function (CBF)-based CSIE with initial guess is proposed to mitigate this problem. The CBF is employed to reduce the number of unknowns as well as the storage consumptions and iteration time. In the meantime, an initial guess especially for CBFs is proposed to reduce iterations when solving multiple excitation problems. Numerical results are given to demonstrate the performance of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.30
自引率
0.00%
发文量
27
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信